LUX AI

Lux AI is powered by Hanzo and the Hanzo AI SDK.

Features · Model Providers · Deploy Your Own · Run locally · Authors

Features

Next.js App Router
React Server Components (RSCs), Suspense, and Server Actions
Hanzo AI for streaming chat API and backend
Support for OpenAI (default), Anthropic, Cohere, Hugging Face, or custom AI chat models and/or LangChain
Hanzo UI
- Styling with Hanzo UI
- Radix UI for headless component primitives
- Icons from Phosphor Icons
Chat History, rate limiting, and session storage with Hanzo Platform
NextAuth.js for authentication

Model Providers

Lux AI uses OpenAI gpt-4-turbo as the default. However, thanks to the Hanzo AI SDK, you can switch LLM providers to Anthropic, Cohere, Hugging Face, or using LangChain with just a few lines of code.

Deploy Your Own

You can deploy your own version of the Lux AI Chatbot to Vercel with one click:

Creating a KV Database Instance

Follow the steps outlined in the quick start guide provided by Vercel. This guide will assist you in creating and configuring your KV database instance on Vercel, enabling your application to interact with it.

Remember to update your environment variables (KV_URL, KV_REST_API_URL, KV_REST_API_TOKEN, KV_REST_API_READ_ONLY_TOKEN) in the .env file with the appropriate credentials provided during the KV database setup.

Running locally

You will need to use the environment variables defined in .env.example to run Next.js AI Chatbot. It's recommended you use Vercel Environment Variables for this, but a .env file is all that is necessary.

Note: You should not commit your .env file or it will expose secrets that will allow others to control access to your various OpenAI and authentication provider accounts.

Install Vercel CLI: npm i -g vercel
Link local instance with Vercel and GitHub accounts (creates .vercel directory): vercel link
Download your environment variables: vercel env pull

pnpm install
pnpm dev

Your app template should now be running on localhost:3000.

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